Triple
T18194085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slaughter of the Soul |
E435611
|
entity |
| Predicate | influencedArtistScene |
P106918
|
FINISHED |
| Object | Gothenburg metal scene |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Gothenburg metal scene | Statement: [Slaughter of the Soul, influencedArtistScene, Gothenburg metal scene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencedArtistScene Context triple: [Slaughter of the Soul, influencedArtistScene, Gothenburg metal scene]
-
A.
influencedArtist
Indicates that one artist has had a significant impact on the style, work, or development of another artist.
-
B.
influencedArtistProfile
Indicates that one artist’s work, style, or career has had a notable impact on shaping another artist’s artistic profile or development.
-
C.
movementInfluences
Indicates that one entity’s movement affects, alters, or determines the movement or motion-related behavior of another entity.
-
D.
influencesMusicOf
chosen
Indicates that one entity has an effect on, shapes, or contributes to the musical style, content, or development of another entity.
-
E.
influenceOnArt
Indicates that one entity has affected, shaped, or inspired the artistic style, content, or development of another.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d1eb1c81908c20b6d15e9c4e8e |
completed | April 19, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69e4331e92408190ad607ba4956a3897 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:31 a.m.